How to use yezdata/EmCoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="yezdata/EmCoder", trust_remote_code=True)
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("yezdata/EmCoder", trust_remote_code=True, device_map="auto")
https://huggingface.co/yezdata/EmCoder/resolve/main/outputs/confusion_matrix.png
hf download hf://yezdata/EmCoder/outputs/confusion_matrix.png
curl -L -o confusion_matrix.png https://huggingface.co/yezdata/EmCoder/resolve/main/outputs/confusion_matrix.png
